Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty

24 Feb 2019Hongjoon AhnTaesup Moon

We propose a novel iterative channel estimation (ICE) algorithm that essentially removes the critical known noisy channel assumption for universal discrete denoising problem. Our algorithm is based on Neural DUDE (N-DUDE), a recently proposed neural network-based discrete denoiser, and it estimates the channel transition matrix as well as the neural network parameters in an alternating manner until convergence... (read more)

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